LLM training in simple, raw C/CUDA

Instant neural graphics primitives: lightning fast NeRF and more

A massively parallel, optimal functional runtime in Rust

FlashInfer: Kernel Library for LLM Serving

CUDA accelerated rasterization of gaussian splatting

Fast parallel CTC.

Fully Convolutional Instance-aware Semantic Segmentation

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

Distributed multigrid linear solver library on GPU

GPU accelerated decision optimization

Instant neural graphics primitives: lightning fast NeRF and more

A CUDA backend for Torch7

A refactored codebase for Gaussian Splatting. Training 3DGS in 50 seconds!

A differentiable rasterizer used in the project "2D Gaussian Splatting"

cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

A Real-Time Depth Sensor Simulator with GPU Acceleration

Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVE…

LLM training in simple, raw C/CUDA

A CUDA-enabled SIFT library

Kalman filter using CUDA

This is a GPU program for the state estimation in power system